Join Abnormal Security as a Backend Software Engineer to enhance the configuration platform and support product teams.
Posted by employer 13 hours ago
First seen on Joblaze 10 minutes ago
Last verified on the company career page 10 minutes ago
What you'll build
Must have
Nice to have
AI in the day-to-day
Abnormal AI uses AI-assisted tools to help prepare for candidate interviews.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the Software Engineer I will focus on enhancing the backend systems that support configuration management across Abnormal's products. Key skills include proficiency in Python or Golang, experience with cloud environments, and a solid grasp of databases and REST APIs. This position is ideal for early-career engineers who are eager to collaborate and take ownership of specific features while contributing to a team that values operational reliability and scalability.
Joblaze insights
Quick facts
From the original posting
This position exists to build and improve the configuration platform owned by the Config Platform team, within the Multi-Product Platform (MPP) division. The role plays a critical part in helping the team deliver on its mission: making configuration easier to access, reuse, and operate across Abnormal, so product teams can spend more time on customer-facing capabilities and less on infrastructure plumbing. You will contribute directly to the backend systems that control how Abnormal products are configured.
Abnormal AI is looking for a driven and growth-oriented Backend Software Engineer to join the Config Platform team. The team builds and maintains the shared systems behind product settings, feature toggles, and tenant configuration. As a member of the team, you will build and scale backend services, help make platform capabilities more reliable, scalable, and observable, and work with engineers across product teams to turn their configuration needs into maintainable software. You’ll work across APIs, backend services, and data workflows, and take part in code reviews, testing, releases, and operational learning as you grow toward owning well-scoped components end to end. We’re looking for candidates who are eager to learn, excited to work collaboratively, and motivated by building foundations that many engineering teams rely on.
Once you apply, you’ll be invited to our AI-powered Development Challenge, where you’ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you’re ready!
#LI-UC1
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Standard company text repeated across Abnormal Security's postings is omitted here.